Live Online Workshop: Time Series Edge Data Analysis and Management for Embedded Systems

Edge Data Computing Solutions

Come join our latest Live Workshop, where you will practice and learn how to make your next data driven embedded IoT device.

Description

Every industry benefits greatly from the immense prospects of edge computing. Improved data control, lower costs, fast insight and reaction, and continuous operation are achieved by bringing computation and data storage closer to the point where data is generated.

Strong device, real-time data processing, and data management skills are required to build embedded systems that understand IoT edge data. Mission-critical Internet of Things (IoT) applications built with ECUs, MCUs and MPUs face many data management challenges, including limited memory, performance, scalability, and security. The right hardware, real-time operating system, data management platform software, and development skills empower manufacturers of mission-critical systems to design and build IoT devices to meet these challenges. Are you building an IoT edge device application for which sensor nodes must quickly and efficiently monitor, stream, process, and store a large volume of time-series data, in real-time?

With ITTIA's online workshop, you will rapidly learn how to build applications for embedded devices and accelerate device data monetization to extend applications for time series data handling and real-time data management. You will experience how your device application can accomplish low latency and high throughput and deliver on expectations for edge devices, so you can take on major IoT-related computing responsibilities.

• Access to internet and required equipment to attend the session online
• Basic familiarity with fundamental database, C and C++ programming languages
• Familiarity with embedded and MCU/MPU devices characteristics
• You will receive an ITTIA DB evaluation license for the workshop

Attendees will be introduced to a global leading IoT data management platform to process and secure edge data. They will quickly be introduced to data management and data processing challenges and learn important options for countering them. They will learn how to:

• Silently embed an intelligent IoT data management platform to monitor, process, and manage embedded data
• Ingest data from multiple time series sources onto flash media at a high rate
• Minimize RAM, code, and storage media footprint
• Query from individual series and export from all series at once
• Store and secure data at the edge

Agenda

ITTIA provides a hybrid embedded database system with less administrative overhead and a small memory footprint but with robust features. ITTIA DB is suited for mission-critical embedded systems because to a number of characteristics. Our goal is to rapidly empower you to learn and experience both data processing and data management required for modern embedded systems.

First Section: How to Modernize Embedded Data Management Capabilities

• A dual hybrid time series database engine characteristic
• Process live IoT sensor data in real-time
• Advanced data analysis and management security features
• A typical use case study
• Major benefits of ITTIA DB for embedded platforms

Third Section: Remote Sensing, Preventive Maintenance, and Forecasting

• Design complex queries to concurrently process time-series data
• Monitor real-time data on STM32 (MCU) and i.MX8 (MPU)
• Manage throughput and latency to accelerate performance
• Use streams, time series, and tables to process data
• Build a streaming app on embedded systems

Enrollment

The cost for this training seminar is GBP 300 unless you are offered a promotion code.